Deep Learning-Based Optimization of Piezoelectric Vibration Energy Harvesters

2022 ◽  
Author(s):  
Abhilash M. Menon ◽  
Tanmayee R. Kopparthi ◽  
Pravan Omprakash ◽  
Harikesh Verma ◽  
A. Haldar ◽  
...  
Author(s):  
Sondipon Adhikari ◽  
Arnab Banerjee

Piezoelectric vibration energy harvesters have demonstrated the potential for sustainable energy generation from diverse ambient sources in the context of low-powered micro-scale systems. However, challenges remain concerning harvesting more power from low-frequency input excitations and broadband random excitations. To address this, here we propose a purely mechanical approach by employing inertial amplifiers with cantilever piezoelectric vibration energy harvesters. The proposed mechanism can achieve inertial amplification amounting to orders of magnitude under certain conditions. Harmonic, as well as broadband random excitations, are considered. Two types of harvesting circuits, namely, without and with an inductor, have been employed. We explicitly demonstrate how different parameters describing the inertial amplifiers should be optimally tuned to maximise harvested power under different types of excitations and circuit configurations. It is possible to harvest five times more power at a 50% lower frequency when the ambient excitation is harmonic. Under random broadband ambient excitations, it is possible to harvest 10 times more power with optimally selected parameters.


Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1584 ◽  
Author(s):  
Abdul Alameh ◽  
Mathieu Gratuze ◽  
Mohannad Elsayed ◽  
Frederic Nabki

2014 ◽  
Vol 953-954 ◽  
pp. 655-658 ◽  
Author(s):  
Guang Qing Shang ◽  
Hong Bing Wang ◽  
Chun Hua Sun

Energy harvesting system has become one of important areas of ​​research and develops rapidly. How to improve the performance of the piezoelectric vibration energy harvester is a key issue in engineering applications. There are many literature on piezoelectric energy harvesting. The paper places focus on summarizing these literature of mathematical modeling of piezoelectric energy harvesting, ranging from the linear to nonlinear, from early a single mechanical degree to piezoaeroelastic problems.


2015 ◽  
Vol 52-53 ◽  
pp. 672-684 ◽  
Author(s):  
Xu Wang ◽  
Sabu John ◽  
Simon Watkins ◽  
Xinghuo Yu ◽  
Han Xiao ◽  
...  

2017 ◽  
pp. 1-37
Author(s):  
Licheng Deng ◽  
Zhiyu Wen ◽  
Xingqiang Zhao

Sign in / Sign up

Export Citation Format

Share Document